Living Activity Estimation System, Living Activity Estimation Device, Living Activity Estimation Program, And Recording Medium

Abstract

An EoD system for personal living activities. A current electric power value is received from a smart tap, a use state q of an appliance is estimated from the current electric power value, change of the use state is detected as an event when the use state is different from a use state of a previous time, and the type of the event and an occurrence time are stored in a memory. Following that, a first weight of the living activity by the type of the event is calculated based on an appliance function model and an elapsed time from the event occurrence time, and a second weight to each living activity corresponding to the current use state of the appliance is acquired from an appliance function model. Based on the product that is a multiplication of the first weight and the second weight, a sum of the products is calculated for each appliance, and a living activity label, in which the sum of the product values of each appliance becomes a maximum value, is estimated as a living activity label of a time.

1 . A living activity estimation system comprising:
 at least one appliance installed in a predetermined space;   a smart tap configured to supply electric power to the appliance;   a living activity estimation device configured to estimate an event concerning the appliance, of living activities of a consumer in the space; and   a network configured to connect the appliance and the living activity estimation device through the smart tap,   wherein the living activity estimation device including   appliance use state estimation means configured to estimate a use state of the appliance, based on an electric power value received from the appliance,   event information detection means configured to detect event information in the space, based on the use state of the appliance at a certain point of time and the use state of the appliance at a previous point of time of the certain point of time,   first weight acquisition means configured to acquire a first weight of each living activity by the event information, the first weight indicating relationship between change of the use state of the appliance and the living activity, from a first appliance function model table that holds the first weight, based on an elapsed time from a point of time of occurrence of the event,   second weight acquisition means configured to acquire a second weight of each living activity, the second weight indicating relationship between the use state of the appliance and the living activity, from a second appliance function model table that holds the second weight, based on the use state of the appliance,   appliance weight multiplication means configured to calculate, based on a product that is a multiplication of the first weight and the second weight, a sum of the products for each appliance, and   living activity estimation means configured to estimate a living activity in which the sum of the products of each appliance becomes a maximum value, as an actual living activity of the consumer.   
     
     
         2 . The living activity estimation system according to  claim 1 , comprising:
 next use state probability estimation means configured to acquire a transition probability of a next use state from an appliance use state transition probability table that indicates a probability of transition of the use state of the appliance, to acquire a transition probability corresponding to an elapsed time after occurrence of the event, from a use state persistence length probability table that indicates a time probability of persistence of the next use state, based on the transition probability of the next use state, and to calculate probability distribution of the appliance to be operated in the next use state, based on the next use state transition probability and the transition probability corresponding to the elapsed time.   
     
     
         3 . The living activity estimation system according to  claim 2 , wherein, when the appliance is not being used, the next use state probability estimate means acquires an appliance use frequency with respect to a living activity label, from an appliance use frequency table that indicates a probability of using the appliance in each living activity, and acquires initial use state distribution from the appliance use state transition probability table that indicates a probability of transition of the use state of the appliance to another use state. 
     
     
         4 . A living activity estimation device that estimates a living activity of a consumer in a predetermined space, the living activity estimation device comprising:
 storage means configured to store a living activity label at each point of time, the living activity label indicating questionnaire information for estimating the living activity of a consumer in a predetermined space;   appliance use state acquisition means configured to acquire a use state at a certain point of time and a previous use state of an appliance from the storage means;   appliance event detection means configured to detect event type information that indicates the living activity in the living space, based on the use state and the previous use state of the appliance acquired by the use appliance state acquisition means;   next use state probability estimation means configured to acquire a transition probability of a next use state from an appliance use state transition probability table that indicates a probability of transition of the use state of the appliance to another use state, to acquire a transition probability corresponding to an elapsed time after occurrence of the event, from a use state persistence length probability table that indicates a time probability of persistence of the use state, based on the transition probability of the next use state, and to calculate probability distribution of the next use state, based on the next use state transition probability and the transition probability corresponding to the elapsed time; and   electric power consumption pattern generation means configured to generate an electric power consumption pattern that indicates an electric power value according to the probability distribution of the next use state.   
     
     
         5 . The living activity estimation device according to  claim 4 , wherein, when the appliance is not being used, the next use state probability estimation means acquires an appliance use frequency with respect to the living activity label, from an appliance use frequency table that indicates a probability of using the appliance in the living activity, and acquires initial use state distribution from the appliance use state transition probability table that indicates a probability of transition of the use state of the appliance to another use state. 
     
     
         6 . A living activity estimation program including at least one appliance installed in a predetermined space, a smart tap configured to supply electric power to the appliance, a living activity estimation device configured to estimate an event concerning the appliance, of living activities of a consumer in the space, and a network configured to connect the appliance and the living activity estimation device through the smart tap, and the living activity estimation program being executed by a processor provided in the living activity estimation device,
 the living activity estimation device for causing the processor to execute the steps of:   appliance use state estimation step for estimating a use state of the appliance, based on an electric power value received from the appliance;   appliance event detection step for detecting event type information that indicates the living activity in the space, based on the use state of the appliance at a certain point of time and the use state of the appliance at a previous point of time of the certain point of time;   a first weight acquisition step for acquiring a first weight of each living activity by the event information, the first weight indicating relationship between change of the use state of the appliance and the living activity, from a first appliance function model table that holds the first weight, based on an elapsed time from a point of time of occurrence of the event;   a second weight acquisition step for acquiring a second weight of each living activity, the second weight indicating relationship between the use state of the appliance and the living activity, from a second appliance function model table that holds the second weight, based on the use state of the appliance;   an appliance weight multiplication step for calculating, based on a product that is a multiplication of the first weight and the second weight, a sum of the products for each appliance;   a living activity estimation step for estimating a living activity in which the sum of the products of each appliance becomes a maximum value, as an actual living activity of the consumer.   
     
     
         7 . A computer-readable recording medium in which the program according to  claim 6  is recorded. 
     
     
         8 . A living activity estimation program executed by a processor provided in a living activity estimation device that estimates an event concerning an appliance, of living activities of a consumer in a predetermined space, the living activity estimation program causing the processor to execute the steps of:
 a storage step for storing, in storage means, a living activity label at each point of time, the living activity label indicating questionnaire information for estimating the living activity of a consumer in a predetermined space,   an appliance use state acquisition step for acquiring, based on a use state of the appliance at a certain point of time and the use state of the appliance at a previous point of time of the certain point of time, the use state and the previous state in the space from the storage means;   an appliance event detection step for detecting event type information that indicates the living activity in the living space, based on the use state and the previous use state of the appliance acquired in the appliance use state acquisition step;   a next use state probability estimation step for acquiring a transition probability of a next use state from an appliance use state transition probability table that indicates a probability of transition of the use state of the appliance to another use state, acquiring a transition probability corresponding to an elapsed time after occurrence of the event from a use state persistence length probability table that indicates a time probability of persistence of the use state, based on the transition probability of the next use state, and calculating probability distribution of the next use state, based on the next use state transition probability and the transition probability corresponding to the elapsed time; and   an electric power consumption pattern generating step for generating an electric power consumption pattern that indicates an electric power value according to the probability distribution of the next use state.   
     
     
         9 . A computer-readable recording medium in which the program according to  claim 8  is recorded. 
     
     
         10 . The living activity estimation device according to  claim 4 , comprising:
 living activity estimation means configured to acquire a set of operation modes of each appliance, based on the electric power consumption pattern generated by the electric power consumption pattern generation means, to acquire a location of the consumer using a human location model that associates an operation of the appliance and the location of the consumer, and to estimate a main activity depending on the location and a sub activity not depending on the location.   
     
     
         11 . The living activity estimation program according to  claim 8 , for causing the processor to execute the step of:
 a living activity estimation step for acquiring a set of operation modes of each appliance, based on the electric power consumption pattern generated by the electric power consumption pattern generating step, acquiring a location of the consumer using a human location model that associates an operation of the appliance and the location of the consumer, and estimating a main activity depending on the location and a sub activity not depending on the location.